7 best virtual try-on tools for ecommerce (2026 guide)

Virtual try-on makes it possible to create realistic fashion images without a full photoshoot  by generating on-model product photos. They might serve both businesses and consumers, letting the latter try on clothes on their own photos. 

In this guide, we’ll compare the best virtual try-on-clothes tools, including both fashion photo generators and online fitting rooms. We’ll go through their pricing tiers, key strengths, and which option fits ecommerce photo workflows best.

Best virtual try-on clothing apps: a brief overview

If you need ecommerce fashion photos

1. Start with Claid for PDP-ready on-model outputs, which you can refine with additional image editing features.
2. Add Botika when you already have on-model or packshot imagery and you want fast, consistent outputs for PDPs without rebuilding your whole photo pipeline.
3. Add FASHN if you want more try-on-like flexibility (model swaps, product-to-model, and an API option).
4. Add Ayna (API/Studio) when you’re ready to automate in bulk or integrate try-on deeper into your stack.
5. Use The New Black as the “creative sandbox” for early concepting and style exploration (then move finals to a PDP-focused workflow).

If you need an online fitting room for customers

• Start with Genlook if you’re on Shopify and want the quickest test of a try-on widget with clear monthly try-on pricing and built-in lead capture/analytics on paid tiers.
• Choose Veesual if you want a richer “shopping experience layer” (switch models, outfit inspiration, mix-and-match) and you’re prepared for an enterprise-style rollout.

Now, let’s dig deeper into each virtual try-on app, their features, pricing tiers, and limitations.

1. Claid, best overall for ecommerce

Claid’s AI fashion suite is built for virtual try-on: you can take a single clothing photo (flatlay/hanger/mannequin) and generate clean, on-model images for ecommerce listings. You can use any of the 100+ virtual models or upload your own for consistent brand representation.

On top of AI fashion photo generation, Claid offers a range of post-editing tools and APIs to let you automate AI photography workflows. It’s the best pick overall when your priority is PDP-ready visuals at scale.

Key features

• Diverse AI fashion model library, including plus-size and kids
• Multiple inputs to style full outfits
• Brand consistency options (including custom model upload) 
• Broader product-photo suite (AI Photoshoot, AI enhancement tools, etc.) 
• API workflows for fashion and other functionality 

Best for

• Ecommerce teams producing thousands of images across many SKUs
• Marketplaces/aggregators that need repeatable, automatable outputs
• Agencies that must keep a consistent “house style” across clients

Pricing

• 50 credits for free
• Paid tiers start from $9 per month 

Pros

• Built for catalog consistency, not one-off demos 
• Workflow automation is a real differentiator if you integrate via API 
• Transparent credit-based pricing

Cons

• If you need shopper-specific fit accuracy (tightness by size, measurements, motion), you’ll need a consumer-centric virtual try-on app
• Credit-based planning matters once you run huge batches 

2. FASHN, great for quick iterations

FASHN is one of the more developer-friendly options right now: you can run try-on via their API or through fal.ai model endpoints. It’s attractive if you want to prototype fast, pay per output, and iterate in code.

Key features

• Virtual try-on + product-to-model + model swap 
• Custom model creation
• Upscaling up to 4K
• API for integrating AI clothing try-on into your software

Best for

• Product teams experimenting with VTO without long enterprise sales cycles
• Agencies building internal tools for virtual try-on at scale

Pricing

• 10 credits for free
• Paid tiers start at $19 per month

Pros

• Broad toolset within the platform 
• Clear path from app usage to API integration 
• Good direction on fidelity (e.g., patterns/text)

Cons

• You’ll still need to QA garment fidelity
• The tool might not get the fit of clothes right, especially across sizes

3. The New Black, great for fashion visualization

The New Black is an all-in-one fashion AI platform best known for design generation (concepting clothing/accessories from prompts and references), with an AI clothes changing feature.

It’s useful for ideation, lookbook-style visualization, and early-stage creative iteration, with try-on as one piece of a broader workflow. 

Key features

• Broad feature set around fashion design workflows
• AI virtual try-on: combine a person photo with a garment image to preview how it looks worn
• AI clothes changer: swap outfits in a photo (good for quick styling tests)
• Community inspiration: browse and reuse prompts/creations for faster iteration

Best for

• Designers and small teams building collections, moodboards, and quick visuals
• Brands who want a virtual try-on workflow for concepting and presentation

Pricing

• 3 credits for free (3 generations)
• Paid tiers start at $8 per month

Pros

• Strong for ideation + rapid variations (it’s built for trying lots of creative directions)
• Big creator/community angle

Cons

• More a creative studio than an ecommerce production line 
• You’ll still need QA for product fidelity on final PDP imagery

4. Botika, optimal for small brands

Botika is an AI fashion-photo tool that turns packshots / flatlays / mannequin shots (and on-model photos) into clean on-model images by swapping in AI models, poses, and backgrounds. Plus, the platform offers a photo fix flow when outputs have issues. 

Key features

• AI model library with diverse models
• Built-in background selection / swapping
• Photo editing tools to refine the results
• AI video generation

Best for

• Teams with lots of SKUs who want a “generate + fix” loop built into the product
• Brands that already have packshots/flatlays and want fast on-model ecommerce images

Pricing

• 8 credits for free
• Paid tiers start at $33 per month

Pros

• Good fit for catalog refresh: packshot/flatlay → on-model + background swaps in one workflow 
• Built-in revision/fix flow is practical for ecommerce 
• Shopify integration

Cons

• No custom models currently
• Some users complain about errors and slow re-edits

5. Ayna, great for Shopify sellers

Ayna is a tool that flatlay, mannequin, or on-model inputs into “studio-quality” on-model images with controls for models, poses, backgrounds, and bulk generation.

Ayna also offers an API to generate virtual try-ons and AI photoshoots.

Key features

• Virtual try-on for showing clothes on chosen models
• Flatlay-to-model photoshoot: creates catalog-style images from flatlay garment shots
• Controls over backgrounds, poses, and styling
• Aspect ratio presets by platform + “marketplace variations” without extra credit (per Shopify listing)
• Bulk generation for large drops

Best for

• Brands that need on-model images quickly from existing garment photos
• Teams that want a single API for both try-on and AI photoshoots

Pricing

• 50 credits in the free trial
• Paid tiers start at $10.4 per month (20 generated images)

Pros

• Clear fashion photography workflow 
• Straightforward API for content creation at scale
• Shopify app for seamless integration

Cons

• Output realism might be an issue, especially for tricky categories of garments
• Credits can get expensive when you generate variations
• Edit / revision turnaround may not fit fast-moving drops

6. Veesual, custom virtual try-on for shoppers

Veesual is known for inclusive visualization: shoppers pick a model they identify with, then see outfits across those models. It’s typically enterprise-led, integrated into an existing ecommerce stack. 

It’s a virtual try-on tool specifically designed for shoppers. Unlike some other apps that let clothing stores create fashion photos, this one lets them integrate an interactive styling experience for customers.

Key features

• Custom photo upload for trying on clothes with AI
• “Shop the Look” module
• Retail-focused styling flows 

Best for

• Brands that want to let shoppers try on their clothes
• Mid-market and enterprise retailers optimizing PDP conversion and returns

Pricing

• Not open to the public

Pros

• Strong shopper experience layer (Switch Model / Look Inspiration / Mix&Match) 
• Designed for large catalogs + global brands

Cons

• No free functionality to try it out
• It takes 4 weeks to integrate on average: this tool takes dedication

7. Genlook, Shopify-native virtual try-on

Genlook is another customer-facing option, which you can use for testing conversion impact. It’s an AI virtual try-on tool built mainly for Shopify stores: you add a widget to product pages so shoppers can see clothes “on them,” and you also get additional features like analytics and lead capture.

Key features

• Virtual try-on studio + widget 
• Customer email collection 
• Shopify-native CRM sync 
• Mobile apps

Best for

• Shopify stores that want a low-risk test of virtual try-on for PDPs

Pricing

• 10 try-ons/month for free
• Paid tiers start at $14.99 per month

Pros

• Very easy way to test the impact of virtual try-on on conversions
• Seamless Shopify integration
• Additional helpful features for capturing leads

Cons

• Not primarily a fashion-photo generator for ads/lookbooks
• Sizing accuracy might be an issue 

How to choose the best virtual try-on tool for your needs

If you want fewer regrets, make three decisions first, and then pick the tool that matches the job (and your constraints).

1) Are you producing fashion photos, or shipping a fitting-room experience?

A. Fashion photos (content creation):

You’re generating PDP-ready on-model images from packshots/flatlays/mannequins, or you’re creating marketing visuals fast.

• Start with Claid if you want the most ecommerce-friendly “PDP photo” workflow and clear generation limits, plus a broader product-photo suite.
• Use FASHN if you want a platform that blends try-on-like capabilities + fashion visuals + (optionally) API access.
• Use The New Black if your priority is concepting and creative exploration (design + outfit swaps + draft visuals), not strict PDP production.

B. Fitting room (customer-facing virtual try-on):

You want a widget/experience on your site that helps shoppers visualize outfits (and ideally improves conversion/AOV).

• Start with Genlook if you’re on Shopify and want the fastest “try-on button” test with clear monthly try-on limits, plus analytics/lead capture on paid tiers.
• Use Veesual if you’re thinking bigger: model switching, mix-and-match styling, and “shop the look” experiences designed for engagement and basket building (typically enterprise).

2) How strict is garment fidelity (logos, patterns, stitching)?

This is the make-or-break filter. Many tools can output something “pretty,” but the real risk is subtle product drift: moved logos, altered prints, warped seams, wrong texture, changed proportions.

• If you sell logo-heavy streetwear, patterned dresses, knits, or premium tailoring, assume you’ll need a QA step no matter what tool you pick. (Teams often add human review because small inaccuracies can create trust/returns problems.)
• Tools with a built-in correction loop can feel safer for catalog work:
  • Claid offers a range of post-editing tools such as object eraser, AI expander, and resolution enhancement.
  • Botika explicitly includes a photo fix workflow with turnaround by tier.
  • Ayna includes an edit/revision framework in terms and plan-based turnaround, but also explicitly notes outputs may vary and aren’t guaranteed to perfectly match real behavior.

3) What are your unit economics (credits, volume, and throughput)?

This is where “cool features” stop mattering and spreadsheets start.

If you have a high-SKU catalog (hundreds/thousands of products):

• You want predictable costs per usable image.
• Credit rules matter: analyze how many credits different tools offer, and note that in some cases, the same functionality might cost a different number of credits depending on the underlying AI model used.

If you’re running marketing campaigns (you need fewer images, but more control/consistency):

• Prioritize: model consistency, brand look, creative control, and iteration speed.
• Claid is a strong default for ecommerce-friendly outputs + clear generation limits, and then you can layer automation later if needed.
• FASHN is a good “creative studio” alternative when you need try-on-like flexibility and multiple generation modes.
• The New Black can be a cheap “creative ideation engine” in the early stages of campaigns (before you lock final PDP visuals).

FAQ

What’s the difference between “AI fashion models” and “virtual try-on”?

“AI fashion models” is usually about generating on-model product photos for ecommerce. “Virtual try-on” is usually customer-facing, letting a shopper try on clothes on their own photo. Many tools blur the line, but the workflows and success metrics are different.

Can virtual try-on actually reduce returns?

Sometimes, but only if it reduces uncertainty for your audience. Many systems are better at “style visualization” than “fit truth,” which limits return impact.

What inputs produce the best results for AI try-on clothes?

Clean garment photos with minimal wrinkles, clear silhouettes, and consistent angles. For on-model generation, ghost mannequin/flatlay can work well. 

Can I run virtual try-on generations through an API?

Yes. If you’re prioritizing API automation, you can use Claid for the most end-to-end ecommerce image pipeline, FASHN or Ayna for try-on endpoints, and The New Black for creative/design APIs.

What’s the biggest hidden cost in virtual try-on apps?

Quality control. The long tail of edge cases (poses, garments, lighting, layering) forces re-renders, manual review, and exception handling.

If I mainly need fashion photos that convert, not a fitting room, what should I use?

Choose a production pipeline like Claid that handles on-model imagery plus edits (aspect ratios, shadows, upscales) and can automate at scale.

Which tool is best for Shopify with no engineering?

For customer-facing try-on, try Ayna or Genlook. For generating on-model images from your garment photos, you can use Claid or Botika and then use generated images on your Shopify store.

Is there a free virtual try-on-clothes app?

Some of the tools we’ve featured offer free credits for exploring their functionality. However, for experimenting with visuals and getting consistent results, you’ll need to have a paid subscription.